HapticAI — The Copilot for Reality

Created as a competitive entry for the Google Gemini 3 API Hackathon, HapticAI is a revolutionary AI pipeline that bridges the digital and physical worlds. It transforms standard 2D video into immersive, 4DX-ready haptic experiences (seat motion, wind, water, scent) in a matter of minutes. By leveraging a custom two-pass architecture with Google's bleeding-edge Gemini 3 Pro, HapticAI turns a weeks-long manual coding process into an instant, $5 automated workflow.

Modern 4DX cinemas are engineering marvels. With over 780 equipped screens globally, audiences can physically feel a movie through seat tilts, wind gusts, water sprays, and environmental effects.

But there is a massive hidden bottleneck: Content Creation. Currently, every single 4DX movie requires a highly specialized team to manually code thousands of physical effects frame-by-frame. It takes 2 to 3 weeks of manual labor just to program a single film. The hardware is ready, but the authoring process is stuck in the past.

I built HapticAI to completely automate the video-to-motion workflow. Instead of relying on human operators to guess the physics of a scene, HapticAI ingests the native video, understands both the narrative arc and the physical forces at play, and generates a millisecond-precise timeline of haptic events synced perfectly to the action.

Because this was built under the strict time constraints of a hackathon, I had to prioritize rapid execution, highly optimized prompt engineering, and an architecture that prioritized both speed and physical accuracy.

To ensure the AI didn't just react to random flashes on screen, but actually understood the context of the physics, I designed a sophisticated two-pass pipeline using Gemini 3 Pro’s newest multimodal capabilities:

The full video is uploaded via the Files API and analyzed at 1 FPS.

Using Gemini 3 Pro with Structured JSON Output and Thinking (low), the AI performs scene segmentation.

It returns timestamped scene boundaries with narrative summaries, giving the model full "story-arc awareness" before it analyzes the micro-details.

The video is split into 15-second overlapping segments and fed to the model inline at native 24 FPS to leverage Gemini 3 Pro’s High-FPS Video Understanding.

Running on Media Resolution HIGH (280 tokens/frame) and Thinking (high), the model performs deep physics reasoning to calculate directional force vectors.

It emits haptic events via Function Calling using two custom tools: add_motion_event() (pitch, yaw, heave) and add_environment_effect() (wind, water, fog, strobe, scent).

Visuals alone aren't enough for physical impacts. I integrated Librosa to snap the AI's event timing to audio transients at 44.1kHz, blending RMS audio energy with Gemini's semantic intensity scores for pixel-and-pitch-perfect synchronization.

To keep human creators in the driver's seat, every AI-generated haptic event includes an explainable reasoning field.

Furthermore, I built a natural-language timeline editor powered by Gemini 3 Flash. If a creator wants to tweak a scene, they don't have to touch code. They can simply type, "Make the explosions in the second scene more intense and add a longer smoke effect," and the AI instantly refines the generated haptic track conversationally.

HapticAI proves that complex physical authoring can be automated without sacrificing quality. By shifting the workload to AI, the platform delivers massive ROI for content studios:

Massive Time Savings: Reduced a tedious manual coding process from 2–3 weeks down to mere minutes.

Drastic Cost Reduction: Processing a high-action 3-minute movie trailer now costs approximately $5 in AI compute.

Infinite Scalability: The pipeline is optimized for action-dense content and scales effortlessly via parallel processing.